iPhone 15 Pro Max
Geekbench AI Score
3797
Single Precision Score
6946
Half Precision Score
5661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.3 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7634
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16780
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14306
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3271
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3760
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12674
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8974
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21049
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33410
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27787
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4674
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7316
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
